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AetherArena ("AA") — The Official Spatial-Intelligence Benchmark

Public leaderboard. Private evaluation split. Open scorer. Signed results.

AetherArena is a standalone, project-agnostic benchmark for camera-free spatial intelligence — pose, presence, occupancy, tracking, and vitals from RF/WiFi (and, over time, mmWave / UWB / radar / lidar / multimodal). It is not a single-vendor leaderboard: any team, framework, or sensing modality can enter, and every entrant — including the RuView baseline that donated the seed scorer — is scored by the identical, open, pinned harness.

Specified in ADR-149 (Accepted).

Canonical home: ruvnet/aether-arena + a Hugging Face Space (deploy pending — see STATUS).


Why

WiFi/RF spatial sensing has no shared yardstick — papers self-report against inconsistent splits and metrics, with no accounting for latency, reproducibility, or privacy leakage. AA fixes the measurement, not just the models: a single deterministic scorer, a private held-out split nobody can train on, and a signed result ledger that can't be silently edited.

What gets measured (v0)

Category Metric Status
Pose PCK@0.2 (all / torso), OKS Ranked
Presence accuracy, FP/FN Ranked
Edge latency p50 / p95 / p99 ms Ranked
Determinism proof-hash pass/fail Ranked (gate)
Tracking (MOTA) activates when multi-person clips land
Vitals (BPM err) activates when paired vitals ground truth lands
Privacy leakage membership-inference ∈ [0,1] gated — not ranked until the attacker ships
Cross-room degradation ratio coming soon

The headline rank is the category metric; an optional arena_score = quality × latency_factor × privacy_factor × determinism_gate is exposed alongside (never instead) so accuracy can't win at any cost. See ADR-149 §2.5.

How scoring works

The scorer is RuView's already-published wifi-densepose-train acceptance harness (ruview_metrics + ADR-145 ablation), run in a pinned sandbox. You submit a model, not predictions — predictions on data you hold prove nothing. Your model is scored against a private MM-Fi held-out split (CC BY-NC 4.0; Wi-Pose excluded for redistribution reasons), and one signed, append-only row is written to the results ledger with a determinism proof hash.

Submission lifecycle: submitted → validated → quarantined → smoke_scored → full_scored → published (or rejected with a reason). The model only ever runs inside a no-network, read-only-FS sandbox.

Submit (when the Space is live)

  1. Write a manifest: schema/aa-submission.toml.
  2. Push your model artifact (.safetensors / .rvf / LoRA adapter) + manifest to the Space.
  3. Watch it move through the lifecycle; your signed row appears on the board.

Verify it's fair (you don't have to trust us)

See VERIFY.md — run the open scorer locally on the public smoke split, reproduce the determinism hash, and confirm RuView's own entries were scored by the identical path. That five-step check is the launch gate (ADR-149 §7).

Neutrality

AA is a neutral commons. The scorer is open and versioned; any metric change is a public harness_version bump that re-scores all entries. RuView donated the seed harness and enters as one baseline — it gets no special treatment (ADR-149 §2.8).